---
title: "compare"
description: "Compare multiple ML experiment runs side-by-side to identify the best configuration."
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/compare
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:18:38.242Z
license: CC-BY-4.0
attribution: "compare — Claudary (https://claudary.paisolsolutions.com/skills/compare)"
---

# compare
Compare multiple ML experiment runs side-by-side to identify the best configuration.

## Overview

Compare multiple ML experiment runs side-by-side to identify the best configuration.

## Steps


1. Load experiment records from the tracking store.
2. Select experiments to compare:
3. Build a comparison table:
4. Analyze parameter sensitivity:
5. Generate visualizations:
6. Identify the winning configuration:
7. Recommend next experiments to try.

## Format


```
Comparison: <N> experiments
Best Run: <experiment name>
Key Findings:
  - <parameter X> has <impact> on <metric Y>
```


## Rules

- Only compare experiments with the same dataset version.
- Use consistent metrics across all compared runs.
- Statistical significance matters; do not draw conclusions from single runs.

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/compare) · https://claudary.paisolsolutions.com